• DocumentCode
    1537504
  • Title

    Adaptive nonlinear boundary control of a flexible link robot arm

  • Author

    de Queiroz, M.S. ; Dawson, D.M. ; Agarwal, M. ; Zhang, F.

  • Author_Institution
    Dept. of Mech. Eng., Polytech. Univ., Brooklyn, NY, USA
  • Volume
    15
  • Issue
    4
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    779
  • Lastpage
    787
  • Abstract
    We consider the problem of designing a boundary controller for a flexible link robot arm with a payload mass at the link´s free-end. Specifically, we utilize a nonlinear, hybrid dynamic system model (the model is hybrid in the sense that it comprises a distributed parameter, dynamic field equation coupled to discrete, dynamic boundary equations) to design a model-based control law which asymptotically stabilizes the link displacement while driving the actuator hub´s position to a desired setpoint. We then illustrate how the control law can be redesigned as an adaptive controller which achieves the same control objective while compensating for parametric uncertainty including unknown payload mass. The control strategy is composed of a boundary control torque applied to the actuator hub and a boundary control force at the link´s free-end. Experimental results are presented to illustrate the performance of the proposed control laws
  • Keywords
    Lyapunov methods; adaptive control; asymptotic stability; compensation; control system synthesis; distributed parameter systems; flexible manipulators; nonlinear control systems; nonlinear dynamical systems; adaptive nonlinear boundary control; boundary control torque; discrete dynamic boundary equations; distributed parameter dynamic field equation; flexible link robot arm; model-based control law; nonlinear hybrid dynamic system model; Actuators; Adaptive control; Force control; Nonlinear dynamical systems; Nonlinear equations; Payloads; Programmable control; Robot sensing systems; Torque control; Weight control;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.782034
  • Filename
    782034